Cover -- Half Title -- Title -- Copyright -- Contents -- Preface -- Acknowledgments -- Author -- Chapter 1 Introduction -- 1.1 Why Do We Need to Introduce the Theories of Signal Processing to Non-Engineers? -- 1.2 What Is a Signal? -- 1.3 What Is Noise? -- Notes -- References -- Chapter 2 The Measurement Pipeline -- 2.1 Sensors -- 2.2 Amplification -- 2.2.1 Common Mode Rejection Ratio -- 2.2.2 How Much Can the Signal Be Amplified? -- 2.2.3 Input Impedance -- 2.3 Analog-to-Digital Conversion -- References -- Chapter 3 Time and Frequency Representation of Continuous Time Signals -- 3.1 Periodic Signals -- 3.2 Fourier Series -- 3.3 Fourier Transform -- 3.4 Duality -- 3.5 Signal Energy -- Note -- References -- Chapter 4 Sampling of Continuous Time Signals -- 4.1 Discrete Time Signals -- 4.2 Sampling in the Frequency Domain -- 4.3 Nyquist Criterion -- 4.4 Practical Considerations -- References -- Chapter 5 Discrete Fourier Transform -- 5.1 Frequency Resolution -- 5.2 Fast Fourier Transform -- 5.3 Aliasing in the Time Domain -- Reference -- Chapter 6 Power Spectrum -- 6.1 Stationarity -- 6.2 Auto-Correlation Function -- 6.3 Spectral Estimation -- 6.3.1 Non-Parametric Methods -- 6.3.2 Parametric Methods -- 6.4 Signal Characteristics Based on the Power Spectrum -- References -- Chapter 7 Systems and Their Properties -- 7.1 System Properties -- 7.1.1 Linearity -- 7.1.2 Time Invariance -- 7.1.3 Causality -- 7.1.4 Stability -- 7.2 Linear Time-Invariant Systems -- 7.3 The System Response and Differential and Difference Equations -- 7.4 Transfer Function and Differential and Difference Equations -- 7.5 The System Response in the Frequency Domain -- 7.6 Stability and the Transfer Function -- 7.7 The Power Spectrum of System Input and Output -- 7.8 The Transfer Function and Parametric Estimation of the Power Spectrum -- Note -- References -- Chapter 8 Filters.